Programming Languages Training
Udemy – JavaScript for QA Engineers and SDETs-BiFiSO
English | Size: 2.80 GB
Category: Tutorial
Learn to code in JavaScript so you can pass your coding interview. Specifically designed for QA. No experience required!
What you’ll learn
JavaScript from the basics to more advanced topics
Applying JavaScript to web applications
Use Node modules to enforce coding standards
Unit testing your code
Use the Visual Studio Code editor
Learn and Master Git & Github from zero to Hero
English | Size: 1.62 GB
Category: Tutorial
This course is designed to reduce academic theory and to key concepts and focus on the basic tasks in Git in order to be productive. In the end of this course you’ll be able to manipulate git and github like a master , and word in team very good and fine So what are you still waiting join the course so that can be deffirent from the other person around you
PluralSight – Scala Specific Design Patterns-JGTiSO
English | Size: 145.69 MB
Category: Tutorial
Writing real world applications using Scala requires the ability to write well-structured and easy to understand code. Often this can be achieved using a well-defined design pattern. In the course, Scala Specific Design Patterns, you’ll learn to use such design patterns in order to create your own well-structured Scala applications First, you’ll explore how to use Typeclass pattern and Cake pattern. Next, you’ll discover how to lazily evaluate expressions. Finally, you ll dive into the concepts of Lens, Implicits Injection, and Memoization patterns. When you re finished with the course, you ll have the necessary knowledge of design patterns needed to understand how when, and why to use them
PluralSight – Interpreting Data Using Statistical Models With Python-JGTiSO
English | Size: 359.00 MB
Category: Tutorial
Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. Increasingly, different organizations are using the same models and modeling tools so what differs is how those models are applied to the data. Today, more than ever, it is really important that you know your data well